Automated policy enforcement is the use of software systems to ensure that rules, regulations, or guidelines are consistently followed without requiring manual checks. These systems monitor activities or configurations and take action when rules are broken, such as blocking access or sending alerts. This helps organisations maintain compliance, security, and operational standards efficiently.
Category: Data Governance
AI-Powered Audit Trails
AI-powered audit trails are digital records that use artificial intelligence to automatically track, analyse, and verify actions taken within a system. These records help organisations monitor who did what, when, and how, making it easier to spot errors or suspicious activities. By using AI, these audit trails can highlight unusual patterns and automate the process…
Automated Data Alerts
Automated data alerts are notifications that are sent automatically when specific changes or patterns are detected in data. These alerts help people and organisations respond quickly to important events, such as sudden increases in website traffic or a drop in sales. By setting rules or thresholds, users can be informed instantly without having to monitor…
Digital Data Monitoring
Digital data monitoring is the process of observing and checking digital information as it moves through systems, networks, or devices. It involves collecting data about activities, performance, or security to ensure everything is working as expected. This monitoring helps organisations spot problems early, keep information safe, and make improvements based on what the data shows.
Intelligent Data Quality Metrics
Intelligent data quality metrics are advanced measurements used to assess the accuracy, completeness, consistency, and reliability of data. Unlike traditional metrics, these often use machine learning or smart algorithms to detect errors, anomalies, or patterns that indicate data issues. They help organisations maintain high-quality data by automatically identifying problems and suggesting improvements.
Smart Data Trust Scores
Smart Data Trust Scores are ratings that help measure how reliable and trustworthy a piece of data or a data source is. They are calculated using a mix of factors, such as where the data comes from, how it has been handled, and whether it matches up with other trusted information. These scores help people…
AI-Powered Data Agreements
AI-powered data agreements use artificial intelligence to help people and organisations create, manage and enforce rules about how data is shared and used. These agreements can automatically check if data is being handled correctly, alert users to any problems, and suggest changes if needed. By using AI, the process becomes faster, more accurate, and easier…
Automated Data Sharing
Automated data sharing refers to the process of exchanging information between systems or organisations without manual intervention. This is achieved using software tools or programmed workflows that handle the transfer, formatting, and security of data. Automated data sharing helps ensure that information is up to date, reduces human error, and saves time by eliminating repetitive…
Digital Data Access Control
Digital data access control refers to the methods and rules used to decide who can view, use, or change digital information. It helps protect sensitive data by making sure only authorised people or systems can access certain files, databases, or resources. These controls can be set up using passwords, permissions, and security software to keep…
Intelligent Data Ownership
Intelligent Data Ownership refers to systems and practices that give individuals or organisations greater control over their data, using advanced technologies to manage access, permissions, and usage. It means data owners can decide who can see, use, or share their information, often using automation to enforce these choices. This approach aims to strengthen privacy, security,…